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URMC / Labs / Carney Lab / Publications & Code / Auditory Models & Code
 

Auditory Models & Code

Carney, LH, Li, T., McDonough, JM (2015), Speech Coding in the Brain: Representation of Formants by Midbrain Neurons Tuned to Sound Fluctuations. eNeuro 2(4) e0004-15.2015 1–1. (DOI: 10.1523/ENEURO.0004-15.2015)

Zilany, M.S.A., Bruce, I.C., and Carney, L.H. (2014), Updated parameters and expanded simulation options for a model of the auditory periphery. (JASA 135(1):283-286)

Mao, J., Vosoughi, A., and Carney, L.H. (2013), Predictions of diotic tone-in-noise detection based on a nonlinear optimal combination of energy, envelope, and fine-structure cues. (JASA 134:396-406)

Zilany, M. S. A. and Carney, L.H. (2010), Power-Law Dynamics in an Auditory-Nerve Model Can Account for Neural Adaptation to Sound-Level Statistics. (Journal of Neuroscience 30(31):10380-10390)

Davidson et al., 2009 - Diotic and dichotic detection

The following article appeared in J. Acoust. Soc. Am. Volume 126, Issue 4, pp. 1889-1905

Davidson, S.A., Gilkey, R.H., Colburn, H.S., Carney, L.H. (2009), Diotic and dichotic detection with reproducible chimeric stimuli. (JASA 126:1889-1905)

The following article appeared in J. Acoust. Soc. Am. Volume 126, Issue 4, pp. 1906-1925

  • Davidson et al., JASA 2009 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.

Davidson, S.A., Gilkey, R.H., Colburn, H.S., Carney, L.H. (2009), An evaluation of models for diotic and dichotic detection in reproducible noises. (JASA 126:1906-1925)

Zilany, M. S. A., Bruce, I. C., Nelson, P.C., and Carney, L.H. (2009), A phenomenological model of the synapse between the inner hair cell and auditory nerve: Long-term adaptation with power-law dynamics. (JASA 126:2390-2412)

Davidson, Gilkey, Colburn, & Carney, 2006 - Binaural detection with narrowband and wideband reproducible noise maskers. III. Monaural and diotic detection and model results (JASA 119:2258-2275)

Tan and Carney (2006), Predictions of Formant-Frequency Discrimination in Noise Based on Model Auditory-Nerve Responses. (JASA 120:1435-1445)

Code for Timing Spikes with sub-microsecond accuracy using TDT RP2 and RV8 [by Yan (Felicia) Gai]

Tan and Carney, 2005, Encoding of vowel-like sounds in the auditory nerve: Model predictions of discrimination performance (JASA 117: 1210-1222)

The following article appeared in J. Acoust. Soc. Am. Volume 117, Issue 3, pp. 1210-1222

Jackson and Carney, 2005 - The Spontaneous-Rate Histogram of the Auditory Nerve Can Be Explained by Only Two or Three Spontaneous Rates and Long-Range Dependence (JARO 6:148-159)

Zhou, Carney & Colburn, 2005 - A Model for Interaural Time Difference Sensitivity in the Medial Superior Olive: Interaction of Excitatory and Inhibitory Synaptic Inputs, Channel Dynamics, and Cellular Morphology (Journal of Neuroscience 25:3046-3058)

Zhang and Carney, 2005 - Response properties of an integrate-and-fire model that receives subthreshold inputs. (Neural Computation - 17:2571-2601)

Zhang and Carney, 2005 - Analysis of models for the synapse between the inner hair cell and the auditory nerve. (JASA - 118:1540-1553)

The following article appeared in J. Acoust. Soc. Am. Volume 118, Issue 3, pp. 1540-1553

Nelson and Carney (2004) - A phenomenological model of peripheral and central neural responses to amplitude-modulated tones. (JASA 116:2173-2186) Models for responses to Amplitude-Modulation at the AN, CN, and IC levels

Nelson et al., JASA 2004 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.

The following article appeared in J. Acoust. Soc. Am. Volume 116, Issue 4, pp. 2173-2186

AN Model with Frequency Glide in Impulse Response (and Level-Dependent BF): Tan, Q., and Carney, L.H. (2003) A phenomenological model for the responses of auditory-nerve fibers: II. Nonlinear tuning with a frequency glide. J. Acoust. Soc. Am. 114: 2007-2020.

The following article appeared in J. Acoust. Soc. Am. Volume 114, Issue 4, pp. 2007-2020

The following article appeared in J. Acoust. Soc. Am. Volume 116, Issue 5, pp. 3224-3225

  • Tan et al., JASA 2003 Erratum© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.

Colburn, H. S., Carney, L. H., and Heinz, M. G. (2003) Quantifying the information in auditory-nerve responses for level discrimination. JARO, 04: 294-311.

Carney, L. H., Heinz, M. G., Evilsizer, M. E., Gilkey, R. H., and Colburn, H. S. (2002) Auditory Phase Opponency: A Temporal Model for Masked Detection at Low Frequencies. Acta Acustica united with Acustica, 88:334-347.

Heinz et al., 2001 - Level and Frequency coding in the AN (Neural Computation)

Spike Generator that can be used with AN models (by B. Scott Jackson) More efficient than spike-generator implementation in Zhang et al. 2001 and Carney 1993. See Documentation.

Auditory-Nerve (AN) Model - Gammatone-filter based time-varying gain & bandwidth: X. Zhang, M. G. Heinz, I. C. Bruce, and L. H. Carney, A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression. J. Acoust. Soc. Am. 2001, 109:648-670.

The following article appeared in J. Acoust. Soc. Am. Volume 109, Issue 2, pp. 648-670

AN Model modified according to Human Auditory-Filter Parameters: Heinz, M. G., Zhang, X., Bruce, I. C., and Carney, L. H. (2001) Auditory-nerve model for predicting performance limits of normal and impaired listeners. ARLO, 2: 91-96.

Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001) Rate and timing cues associated with the cochlear amplifier: Level discrimination based on Monaural cross-frequency coincidence detection. J. Acoust. Soc. of Am. 110: 2065-2084.

The following article appeared in J. Acoust. Soc. Am. Volume 110, Issue 4, pp. 2065-2084